diff --git a/docs/docs/how_to/structured_output.ipynb b/docs/docs/how_to/structured_output.ipynb index 29cd6da7a4f..1c42e81ff50 100644 --- a/docs/docs/how_to/structured_output.ipynb +++ b/docs/docs/how_to/structured_output.ipynb @@ -257,17 +257,17 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 19, "id": "9194bcf2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Response(output=Joke(setup='Why was the cat sitting on the computer?', punchline='To keep an eye on the mouse!', rating=8))" + "FinalResponse(final_output=Joke(setup='Why was the cat sitting on the computer?', punchline='Because it wanted to keep an eye on the mouse!', rating=7))" ] }, - "execution_count": 4, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -293,28 +293,28 @@ " response: str = Field(description=\"A conversational response to the user's query\")\n", "\n", "\n", - "class Response(BaseModel):\n", - " output: Union[Joke, ConversationalResponse]\n", + "class FinalResponse(BaseModel):\n", + " final_output: Union[Joke, ConversationalResponse]\n", "\n", "\n", - "structured_llm = llm.with_structured_output(Response)\n", + "structured_llm = llm.with_structured_output(FinalResponse)\n", "\n", "structured_llm.invoke(\"Tell me a joke about cats\")" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 20, "id": "84d86132", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Response(output=ConversationalResponse(response=\"I'm just a digital assistant, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?\"))" + "FinalResponse(final_output=ConversationalResponse(response=\"I'm just a bunch of code, so I don't have feelings, but I'm here and ready to help you! How can I assist you today?\"))" ] }, - "execution_count": 5, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -915,9 +915,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "poetry-venv-2", "language": "python", - "name": "python3" + "name": "poetry-venv-2" }, "language_info": { "codemirror_mode": {